International Scientist - Spatial Data Science and GIS K4GGWA

1. Spatial analysis and mapping (GIS) using existing data at country and regional level including from GGW partner countries and agencies. Support project activities to strengthen the capacity of regional and national GGW bodies and stakeholders to assess map and monitor a wide range of biophysical and land health indicators; responding to country needs including to track the effectiveness of land restoration implementation target interventions and to guide policy; use of a wide range of available tools including citizen science apps and relevant FAO.
   
2. Basic remote sensing analysis such as calculations and analysis of vegetation indices and land cover classes. Support in the development and deployment of machine learning models using ground truth and remote sensing data to assess various aspects of ecosystem health at scale.
   
3. Contribute to the preparation of annual state of land (use change health incl. trends in climate) and vegetation maps and knowledge products building on existing tools and analysis where relevant including the EUs Africa Knowledge Platform.
   
4. Represent CIFORICRAF at conferences and/or meetings from a technical remote sensing / data science perspective.
   
5. Manage spatial data science fellows and interns as needed.
   

Requirements

• MSc in GIS spatial data science or related field.
  
• Some background in remote sensing whether from satellite or from aerial/drone imagery.
  
• High level of proficiency in QGIS some experience with computer programming languages such as R or Python.
  
• Experience in handling spatial data.